e764 Keynote Lectures EMBnet.journal 20.A

Galaxy1 is a widely-used, web-based platform for data integration and analysis in the life sci-ences (Goecks et al., 2010; Blenkenberg et al., 2010; Giardine et al., 2005). It is available as a free public server2 on the web, and as open-source software that can be installed locally and on the cloud3. Galaxy enables life scientists to perform bioinformatics analysis using the large and varied datasets now being generated in bi-omedical research. It does this without requiring researchers to learn Linux system management, scripting, or command line interfaces. In addition to making these methods acces-sible to bench researchers, Galaxy also enables sharing, reproducibility and transparency in re-search. Galaxy features a robust history mech-anism that automatically and unobtrusively re-cords all data, metadata, and analysis steps, allowing the analysis to be shared and pub-lished, and run again with the same or different data. The platform also supports creation of re-usable pipelines, either de novo, or by extracting them from existing analyses. This talk will introduce Galaxy and then focus on what the project is doing to scale to support complex analysis in experiments with hundreds or even thousands of samples and datasets. It also includes a discussion on the challenges faced, and how they are being addressed 1 galaxyproject.org 2 usegalaxy.org 3 getgalaxy.org Acknowledgements The Galaxy Project is an open source project with core team members on three continents, and across the United States. It has a very ac-tive community, contributing support, code, documentations, tools, and training back t